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arXiv · 2010.02512

Target State Estimation and Prediction for High Speed Interception

Aashay Bhise·Shuvrangshu Jana·Lima Agnel Tony·Debasish Ghose
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Abstract

Accurate estimation and prediction of trajectory is essential for interception of any high speed target. In this paper, an extended Kalman filter is used to estimate the current location of target from its visual information and then predict its future position by using the observation sequence. Target motion model is developed considering the approximate known pattern of the target trajectory. In this work, we utilise visual information of the target to carry out the predictions. The proposed algorithm is developed in ROS-Gazebo environment and is verified using hardware implementation.

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BibTeXRIS

Aashay Bhise, Shuvrangshu Jana, Lima Agnel Tony, Debasish Ghose. 2020-10-04. Target State Estimation and Prediction for High Speed Interception. https://arxiv.org/abs/2010.02512

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